Data Engineer
Core
Design, build, and deploy cloud-native data pipelines and platforms for marketing analytics, measurement, and activation.
Role type
Data Engineer
Builds
Cloud data pipelines, ingestion pipelines, and analytics-ready datasets for marketing clients.
Domain
Marketing Technology / Data Engineering
Required skills
SQL, Python, Cloud Data Warehousing, ETL/ELT, API Authentication, Data Modeling (dbt/Dataform), Cloud Functions/Services
Preferred skills
GenAI tools, DataOps, CI/CD, Marketing Analytics Tools, BI/Visualization, Paid Media Data
Technologies
GCP, AWS, Azure, BigQuery, Snowflake, Redshift, Databricks, dbt, Cloud Workflows, dbt Cloud, Looker Studio, Power BI
Responsibilities
Design and deploy data pipelines on GCP/AWS; Develop ingestion pipelines from marketing/ad sources; Transform raw data into analytics-ready datasets; Write performant SQL for large datasets; Automate ETL/ELT processes; Contribute to pipeline orchestration; Apply GenAI tools to engineering workflows; Communicate technical solutions to stakeholders.
Seniority
Junior to Mid-level, hands-on IC
